{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:18:06Z","timestamp":1768522686248,"version":"3.49.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030869595","type":"print"},{"value":"9783030869601","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86960-1_6","type":"book-chapter","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T07:02:59Z","timestamp":1631257379000},"page":"70-83","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The Importance of Color Spaces for Image Classification Using Artificial Neural Networks: A Review"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8628-9930","authenticated-orcid":false,"given":"Ronny","family":"Velastegui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7152-2760","authenticated-orcid":false,"given":"Linna","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7782-3457","authenticated-orcid":false,"given":"Dong","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,11]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Akmeliawati, R., Ooi, M.P.L., Kuang, Y.C.: Real-time Malaysian sign language translation using colour segmentation and neural network. In: 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, pp. 1\u20136. IEEE (2007)","DOI":"10.1109\/IMTC.2007.379311"},{"issue":"1","key":"6_CR2","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0167-7012(00)00201-3","volume":"43","author":"IA Basheer","year":"2000","unstructured":"Basheer, I.A., Hajmeer, M.: Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Methods 43(1), 3\u201331 (2000)","journal-title":"J. Microbiol. Methods"},{"key":"6_CR3","unstructured":"Berg, A., Deng, J., Fei-Fei, L.: Large scale visual recognition challenge (ILSVRC) 2010. http:\/\/www.image-net.org\/challenges\/LSVRC 3 (2010)"},{"key":"6_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-030-31332-6_27","volume-title":"Pattern Recognition and Image Analysis","author":"V Buhrmester","year":"2019","unstructured":"Buhrmester, V., M\u00fcnch, D., Bulatov, D., Arens, M.: Evaluating the impact of color information in deep neural networks. In: Morales, A., Fierrez, J., S\u00e1nchez, J.S., Ribeiro, B. (eds.) IbPRIA 2019. LNCS, vol. 11867, pp. 302\u2013316. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-31332-6_27"},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"27389","DOI":"10.1109\/ACCESS.2019.2898223","volume":"7","author":"W Castro","year":"2019","unstructured":"Castro, W., Oblitas, J., De-La-Torre, M., Cotrina, C., Baz\u00e1n, K., Avila-George, H.: Classification of cape gooseberry fruit according to its level of ripeness using machine learning techniques and different color spaces. IEEE Access 7, 27389\u201327400 (2019)","journal-title":"IEEE Access"},{"key":"6_CR6","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-030-17795-9_3","volume-title":"Advances in Computer Vision","author":"J Diaz-Cely","year":"2020","unstructured":"Diaz-Cely, J., Arce-Lopera, C., Mena, J.C., Quintero, L.: The effect of color channel representations on the transferability of convolutional neural networks. In: Arai, K., Kapoor, S. (eds.) CVC 2019. AISC, vol. 943, pp. 27\u201338. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-17795-9_3"},{"issue":"4","key":"6_CR7","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1016\/j.eswa.2014.09.057","volume":"42","author":"N El-Bendary","year":"2015","unstructured":"El-Bendary, N., El Hariri, E., Hassanien, A.E., Badr, A.: Using machine learning techniques for evaluating tomato ripeness. Expert Syst. Appl. 42(4), 1892\u20131905 (2015)","journal-title":"Expert Syst. Appl."},{"key":"6_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/978-3-030-20870-7_36","volume-title":"Computer Vision \u2013 ACCV 2018","author":"SN Gowda","year":"2019","unstructured":"Gowda, S.N., Yuan, C.: ColorNet: investigating the importance of color spaces for image classification. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) ACCV 2018. LNCS, vol. 11364, pp. 581\u2013596. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20870-7_36"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Graupe, D.: Principles of artificial neural networks, vol. 7. World Scientific (2013)","DOI":"10.1142\/8868"},{"key":"6_CR10","unstructured":"Hassoun, M.H., et al.: Fundamentals of Artificial Neural Networks. MIT Press, Cambridge (1995)"},{"issue":"2","key":"6_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1145\/248210.248212","volume":"16","author":"B Hill","year":"1997","unstructured":"Hill, B., Roger, T., Vorhagen, F.W.: Comparative analysis of the quantization of color spaces on the basis of the CIELAB color-difference formula. ACM Trans. Graph. (TOG) 16(2), 109\u2013154 (1997)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"3","key":"6_CR12","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/2.485891","volume":"29","author":"AK Jain","year":"1996","unstructured":"Jain, A.K., Mao, J., Mohiuddin, K.M.: Artificial neural networks: a tutorial. Computer 29(3), 31\u201344 (1996)","journal-title":"Computer"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.bspc.2018.12.004","volume":"49","author":"P Khojasteh","year":"2019","unstructured":"Khojasteh, P., Aliahmad, B., Kumar, D.K.: A novel color space of fundus images for automatic exudates detection. Biomed. Signal Process. Control 49, 240\u2013249 (2019)","journal-title":"Biomed. Signal Process. Control"},{"key":"6_CR14","unstructured":"Kim, J., Kim, B., Savarese, S.: Comparing image classification methods: K-nearest-neighbor and support-vector-machines. In: Proceedings of the 6th WSEAS International Conference on Computer Engineering and Applications, and Proceedings of the 2012 American Conference on Applied Mathematics, vol. 1001, pp. 48109\u20132122 (2012)"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.ins.2019.08.072","volume":"508","author":"A Kumar","year":"2020","unstructured":"Kumar, A., et al.: Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer. Inf. Sci. 508, 405\u2013421 (2020)","journal-title":"Inf. Sci."},{"issue":"5","key":"6_CR16","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1080\/01431160600746456","volume":"28","author":"D Lu","year":"2007","unstructured":"Lu, D., Weng, Q.: A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sens. 28(5), 823\u2013870 (2007)","journal-title":"Int. J. Remote Sens."},{"issue":"2","key":"6_CR17","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1111\/j.1520-6378.1994.tb00070.x","volume":"19","author":"M Mahy","year":"1994","unstructured":"Mahy, M., Van Eycken, L., Oosterlinck, A.: Evaluation of uniform color spaces developed after the adoption of CIELAB and CIELUV. Color Res. Appl. 19(2), 105\u2013121 (1994)","journal-title":"Color Res. Appl."},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.aasri.2014.09.006","volume":"9","author":"S Matuska","year":"2014","unstructured":"Matuska, S., Hudec, R., Kamencay, P., Benco, M., Zachariasova, M.: Classification of wild animals based on SVM and local descriptors. AASRI Procedia 9, 25\u201330 (2014)","journal-title":"AASRI Procedia"},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"83","DOI":"10.5840\/wcp202000514","volume":"5","author":"BP McLaughlin","year":"2000","unstructured":"McLaughlin, B.P.: Colors and color spaces. Proc. Twentieth World Congress Philos. 5, 83\u201389 (2000)","journal-title":"Proc. Twentieth World Congress Philos."},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Nath, S.S., Mishra, G., Kar, J., Chakraborty, S., Dey, N.: A survey of image classification methods and techniques. In: 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), pp. 554\u2013557. IEEE (2014)","DOI":"10.1109\/ICCICCT.2014.6993023"},{"issue":"6","key":"6_CR21","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1109\/83.923289","volume":"10","author":"G Paschos","year":"2001","unstructured":"Paschos, G.: Perceptually uniform color spaces for color texture analysis: an empirical evaluation. IEEE Trans. Image Process. 10(6), 932\u2013937 (2001)","journal-title":"IEEE Trans. Image Process."},{"key":"6_CR22","unstructured":"Perez, L., Wang, J.: The effectiveness of data augmentation in image classification using deep learning. arXiv preprint arXiv:1712.04621 (2017)"},{"key":"6_CR23","unstructured":"Quraishi, M.I., Choudhury, J.P., De, M.: Image recognition and processing using artificial neural network. In: 2012 1st International Conference on Recent Advances in Information Technology (RAIT), pp. 95\u2013100. IEEE (2012)"},{"issue":"9","key":"6_CR24","doi-asserted-by":"publisher","first-page":"2352","DOI":"10.1162\/neco_a_00990","volume":"29","author":"W Rawat","year":"2017","unstructured":"Rawat, W., Wang, Z.: Deep convolutional neural networks for image classification: a comprehensive review. Neural Comput. 29(9), 2352\u20132449 (2017)","journal-title":"Neural Comput."},{"key":"6_CR25","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/978-3-319-67934-1_15","volume-title":"Advances in Signal Processing and Intelligent Recognition Systems","author":"R Sachin","year":"2018","unstructured":"Sachin, R., Sowmya, V., Govind, D., Soman, K.P.: Dependency of various color and intensity planes on CNN based image classification. In: Thampi, S.M., Krishnan, S., Corchado Rodriguez, J.M., Das, S., Wozniak, M., Al-Jumeily, D. (eds.) SIRS 2017. AISC, vol. 678, pp. 167\u2013177. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-67934-1_15"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Sahin, Y., Duman, E.: Detecting credit card fraud by ANN and logistic regression. In: 2011 International Symposium on Innovations in Intelligent Systems and Applications, pp. 315\u2013319. IEEE (2011)","DOI":"10.1109\/INISTA.2011.5946108"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"S\u00fcsstrunk, S., Buckley, R., Swen, S.: Standard RGB color spaces. In: Color and Imaging Conference, vol. 1999, pp. 127\u2013134. Society for Imaging Science and Technology (1999)","DOI":"10.2352\/CIC.1999.7.1.art00024"},{"key":"6_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1007\/978-3-319-68542-7_42","volume-title":"Cloud Computing and Security","author":"J Wu","year":"2017","unstructured":"Wu, J., Qiu, S., Zeng, R., Senhadji, L., Shu, H.: PCANet for color image classification in various color spaces. In: Sun, X., Chao, H.-C., You, X., Bertino, E. (eds.) ICCCS 2017. LNCS, vol. 10603, pp. 494\u2013505. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68542-7_42"},{"key":"6_CR29","unstructured":"Yegnanarayana, B.: Artificial neural networks. PHI Learning Pvt, Ltd (2009)"},{"issue":"6","key":"6_CR30","doi-asserted-by":"publisher","first-page":"7373","DOI":"10.1016\/j.eswa.2010.12.089","volume":"38","author":"Y Yu","year":"2011","unstructured":"Yu, Y., Choi, T.M., Hui, C.L.: An intelligent fast sales forecasting model for fashion products. Expert Syst. Appl. 38(6), 7373\u20137379 (2011)","journal-title":"Expert Syst. Appl."},{"key":"6_CR31","unstructured":"Zeng, H., Hudson, K.R.: Method and system for management of color through conversion between color spaces. US Patent 7,054,035, 30 May 2006"},{"key":"6_CR32","doi-asserted-by":"crossref","unstructured":"Zuo, H., Hu, W., Wu, O.: Patch-based skin color detection and its application to pornography image filtering. In: Proceedings of the 19th International Conference on World Wide Web, pp. 1227\u20131228 (2010)","DOI":"10.1145\/1772690.1772887"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86960-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T16:35:36Z","timestamp":1699461336000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86960-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030869595","9783030869601"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86960-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Customed version of CyberChair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1588","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}